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Microsoft GH-300 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt engineering and context crafting	10%	- Prompt design 1. Zero-shot and few-shot prompting 2. Prompt structure and context usage - Optimization 1. Prompt refinement techniques
Topic 2: Privacy, exclusions, and safeguards	15%	- Security safeguards 1. Security warnings and mitigations 2. Duplication detection - Privacy configuration 1. Content exclusions and repository controls 2. Data ownership and usage limitations
Topic 3: Understand GitHub Copilot data and architecture	15%	- System behavior and limitations 1. Suggestion lifecycle 2. LLM limitations - Data handling 1. Input processing and prompt construction 2. Data flow and privacy boundaries
Topic 4: Improve developer productivity with Copilot	10%	- Software development enhancement 1. Legacy code modernization 2. Sample data generation 3. Code generation and refactoring - Testing and security 1. Security and performance suggestions 2. Unit and integration test generation
Topic 5: Use GitHub Copilot features	30%	- IDE integration 1. Inline suggestions and chat usage 2. File and repository exclusions 3. CLI usage and setup - Organization administration 1. Audit logs and subscription management 2. Policy management and feature control - Advanced Copilot capabilities 1. Copilot Spaces and Spark 2. Agent Mode and Edit Mode 3. Pull request summaries and code review
Topic 6: Use GitHub Copilot responsibly	15%	- Copilot responsible operation 1. Safe usage practices in development workflows - Responsible AI principles 1. Ethical AI usage and governance 2. Risks and limitations of generative AI 3. Validation of AI-generated output

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Microsoft GitHub Copilot Sample Questions (Q65-Q70):

NEW QUESTION # 65
In what ways can GitHub Copilot support a developer during the code refactoring process? (Each correct answer presents part of the solution. Choose two.)

A. By providing suggestions for improving code readability and maintainability based on best practices.
B. By independently ensuring compliance with regulatory standards across industries.
C. By autonomously refactoring entire codebases to the latest programming language.
D. By offering code transformation examples that enhance performance and reduce complexity.

Answer: A,D

Explanation:
Exact extracts:
* "Copilot can propose code transformations that improve performance and reduce complexity." References: GitHub Copilot code refactoring documentation.

NEW QUESTION # 66
How does GitHub Copilot identify matching code and ensure that public code is appropriately handled or blocked? (Each correct answer presents part of the solution. Choose two.)

A. Reviewing and storing user-specific private repository data for future suggestions
B. Using machine learning models trained only on private repositories
C. Filtering out suggestions that match code from public repositories
D. Implementing safeguards to detect and avoid suggesting verbatim snippets from public code

Answer: C,D

Explanation:
Exact extracts:
* "GitHub Copilot has a filter to detect code suggestions that match public code on GitHub. When this filter is enabled, Copilot checks suggestions with about 150 characters or more against public code and blocks them if a match is found." References: GitHub Copilot duplication detection and safeguards documentation.

NEW QUESTION # 67
Where is the proxy service hosted?

A. Amazon Web Service
B. Google Cloud Platform
C. Self hosted
D. Microsoft Azure

Answer: D

Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
Reference: GitHub Copilot infrastructure and hosting information.

NEW QUESTION # 68
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)

A. Creation of end-to-end performance testing scenarios for a web application
B. Explain a legacy COBOL code and translate the code to another language like Python.
C. Create a technical requirement specification from the business requirement documentation
D. Creation of a unit test scenario for newly developed Python code

Answer: B,D

Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
Reference: GitHub Copilot Chat use cases.

NEW QUESTION # 69
How does the /tests slash command assist developers?

A. Integrates with external testing frameworks.
B. Creates unit tests for the selected code.
C. Executes test cases to find issues with the code.
D. Constructs detailed test documentation.

Answer: B

Explanation:
The /tests slash command in GitHub Copilot Chat creates unit tests for the selected code, helping developers ensure the functionality and reliability of their code.

NEW QUESTION # 70
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